WEB数据挖掘在电子商务中的研究应用  

WEB data mining research applications in e-commerce

作　　者：刘金勇[1] 

机构地区：[1]四川大学计算机学院,四川610064

出　　处：《网络安全技术与应用》2013年第9期25-26,共2页Network Security Technology & Application

摘　　要：WEB数据挖掘旨在从大量的WEB数据信息中发现有用的模式和隐藏的信息,从而为决策者提供决策支持,优化市场策略,有效地解决当今互联网信息膨胀的问题。WEB数据挖掘的一个重要应用就是电子商务。电子商务是一个基于网络平台的现代化的商业模式,目前电子商务发展势头强劲,WEB数据挖掘在电子商务中必定有广阔的应用前景。本文将WEB数据挖掘与电子商务相结合,介绍了在电子商务平台中进行WEB数据挖掘的方法,从而为电子商务从业人员提供借鉴,以便更好地分析数据间的隐藏关系和模式,掌握用户喜好,为电子商务平台的市场决策提供决策支持,减少风险。WEB Data Mining to data from a large number of the WEB find useful patterns and hidden information,so as to provide decision makers with decision support,optimizing marketing strategies in today＇s Internet information effectively solve the problem of expansion.WEB Data mining is an important application of e-commerce.E-commerce is a web-based platform for modern business model,the current strong momentum in e-commerce development,WEB data mining in e-commerce will have broad application prospects.This article will WEB DATA MINING combined with e-commerce,e-commerce platform introduced for WEB data mining methods to provide a reference for e-commerce practitioners in order to better analyze the hidden relationships between data and model,master user preferences for e-commerce platform to provide decision support marketing decisions and reduce risk.

关 键 词：WEB 数据挖掘 电子商务 数据资源 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]